Anxiety dissociates the adaptive functions of sensory and motor response enhancements to social threats.

Elife

Laboratoire de Neurosciences Cognitives, Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL Research University, Paris, France.

Published: December 2015

Efficient detection and reaction to negative signals in the environment is essential for survival. In social situations, these signals are often ambiguous and can imply different levels of threat for the observer, thereby making their recognition susceptible to contextual cues - such as gaze direction when judging facial displays of emotion. However, the mechanisms underlying such contextual effects remain poorly understood. By computational modeling of human behavior and electrical brain activity, we demonstrate that gaze direction enhances the perceptual sensitivity to threat-signaling emotions - anger paired with direct gaze, and fear paired with averted gaze. This effect arises simultaneously in ventral face-selective and dorsal motor cortices at 200 ms following face presentation, dissociates across individuals as a function of anxiety, and does not reflect increased attention to threat-signaling emotions. These findings reveal that threat tunes neural processing in fast, selective, yet attention-independent fashion in sensory and motor systems, for different adaptive purposes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868536PMC
http://dx.doi.org/10.7554/eLife.10274DOI Listing

Publication Analysis

Top Keywords

sensory motor
8
gaze direction
8
threat-signaling emotions
8
anxiety dissociates
4
dissociates adaptive
4
adaptive functions
4
functions sensory
4
motor response
4
response enhancements
4
enhancements social
4

Similar Publications

Speech production engages a distributed network of cortical and subcortical brain regions. The supplementary motor area (SMA) has long been thought to be a key hub in coordinating across these regions to initiate voluntary movements, including speech. We analyzed direct intracranial recordings from 115 patients with epilepsy as they articulated a single word in a subset of trials from a picture-naming task.

View Article and Find Full Text PDF

Research on brain aging using resting-state functional magnetic resonance imaging (rs-fMRI) has typically focused on comparing "older" adults to younger adults. Importantly, these studies have often neglected the middle age group, which is also significantly impacted by brain aging, including by early changes in motor, memory, and cognitive functions. This study aims to address this limitation by examining the resting state networks in middle-aged adults via an exploratory whole-brain ROI-to-ROI analysis.

View Article and Find Full Text PDF

Spinal cord injury (SCI) frequently results in persistent motor, sensory, or autonomic dysfunction, and the outcomes are largely determined by the location and severity of the injury. Despite significant technological progress, the intricate nature of the spinal cord anatomy and the difficulties associated with neuroregeneration make full recovery from SCI uncommon. This review explores the potential of artificial intelligence (AI), with a particular focus on machine learning, to enhance patient outcomes in SCI management.

View Article and Find Full Text PDF

Background: In epidural anaesthesia, the addition of an adjuvant to local anaesthetics enhances the efficacy, thereby providing increased duration and intensity of blockade in lower limb surgeries. The aim was to compare the efficacy, onset, and duration of sensory and motor blockade; haemodynamic changes; and sedative and analgesic effects of nalbuphine, clonidine, and dexmedetomidine as an adjuvant to ropivacaine in epidural anaesthesia.

Methodology: A prospective, randomised, double-blind study among 90 patients after taking consent was divided into three groups (30 patients each; Group D received 15 ml of 0.

View Article and Find Full Text PDF

Hippocampus in the mammalian brain supports navigation by building a cognitive map of the environment. However, only a few studies have investigated cognitive maps in large-scale arenas. To reveal the computational mechanisms underlying the formation of cognitive maps in large-scale environments, we propose a neural network model of the entorhinal-hippocampal neural circuit that integrates both spatial and non-spatial information.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!